• DocumentCode
    3255421
  • Title

    Power system damping using GA based fuzzy controlled SVC device

  • Author

    Magaji, N. ; Mustafa, M.W. ; bint Muda, Z.

  • Author_Institution
    Power Syst. Dept., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2009
  • fDate
    23-26 Jan. 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper investigates the application of SVC hybrid controller for improving damping inter-area modes of oscillations. The proposed controller comprised fuzzy logic proportional and derivative controller with the conventional proportional and integral controller (FUZZY PD+PI) turn by genetic algorithm techniques. The proposed control scheme implements the characteristics of the GA´s global optimization to optimize the FPD control parameters, kp, kd, KP, KI and KD to obtain the best control effect by minimizing the integral time square error online. This type of hybrid control is proved to be more robust and effective in damping electromechanical oscillations of the power systems in comparison with the conventional PID regulators or Fuzzy only used for SVC control. The performances of the controllers and the improvement in the system response are presented to highlight the effectiveness of the proposed SVC controller in a two -area four machines power system.
  • Keywords
    PD control; PI control; fuzzy control; genetic algorithms; power system control; three-term control; FPD control parameters; PI control; PID regulators; damping electromechanical oscillations; fuzzy controlled SVC device; genetic algorithm; power system damping; proportional and derivative controller; proportional and integral controller; Control systems; Damping; Fuzzy control; Fuzzy systems; Hybrid power systems; PD control; Pi control; Power systems; Proportional control; Static VAr compensators; GA and PID; Power system oscillations; SVC; fuzzy logic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2009 - 2009 IEEE Region 10 Conference
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-4546-2
  • Type

    conf

  • DOI
    10.1109/TENCON.2009.5396011
  • Filename
    5396011